Sistemas de saúde no Brasil e Canadá: uma análise comparativa das políticas públicas
Bibliographic record
Abstract
The Brazilian Unified Health System (SUS) and the Canadian health system, known as Medicare, are models whose purpose is to guarantee universal access to health care, despite adopting different approaches. Established by law number 8.080/1990, the SUS operates based on the principles of universality, comprehensiveness, and equity, seeking to offer free and comprehensive services to the entire population. On the other hand, the Canadian system is structured in decentralized provincial and territorial plans, governed by the Canada Health Act (1985), which ensures universal coverage for essential medical services, financed by general taxes. This model eliminates financial barriers to care, but faces difficulties such as a shortage of professionals and long queues for non-urgent procedures. A comparison between the systems reveals striking differences, such that studies indicate that the quality of the systems is related to the capacity to provide care in an integrated and coordinated manner, showing the importance of overcoming structural barriers. The analysis of the experiences of Brazil and Canada allows us to identify practices that can improve health policies, strengthening equity and inclusion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.029 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".